Many examples, tutorials, and blog posts convey the impression that Python is the only language to do AI. This blog post shows that for enterprise applications, Kotlin with Spring Boot is a very good choice in order to build robust AI and Agentic AI applications.
In today’s fast‑evolving landscape of AI‑driven applications, integrating language models into enterprise solutions is essential. This post explores LangChain4j within a Spring Boot environment using Kotlin. I will demonstrate how to declare AI services using annotations, integrate system prompts, dynamic user prompts, and tools — all via declarative interfaces.
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